Towards a framework for parallel computing with raster and other geospatial data objects in R.

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An R package for easy parallel computing, logging, and function call automation.

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The approach of ensemble spatiotemporal mixed models is to make reliable estimation of air pollutant concentrations at high resolutions. (1) Extraction of covar...

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Perform parallel computing on clusters with R language

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Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation...

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:exclamation: This is a read-only mirror of the CRAN R package repository. runjags — Interface Utilities, Model Templates, Parallel Computing Methods and Addition...

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Optimisation du code implémenté dans le package "enercast forked from cugliari/enercast"

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Repository for the course "Parallel computing for data science" - M2DM Univ Lyon 2.

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R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel....

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Lee, Byungwook, and Doheon Lee developed a similarity measure for protein domain architectures. This is based on precomputed ‘domain weights’. The ‘generate_domain...

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It is a challenge for investors to forecast the option prices, invest in it and earn fruitful profits. The derivative markets such as option market give some flexi...

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An R package implementing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS...

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